| name | explain-diff-html |
|---|---|
| description | Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output. |
Please make me a rich, interactive explanation of the specified code change.
It should have these sections:
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| #if os(iOS) | |
| import CoreImage | |
| import CoreImage.CIFilterBuiltins | |
| import CoreText | |
| import UIKit | |
| /// A single-line UIKit label that transitions text one glyph at a time. | |
| /// | |
| /// The intrinsic content size follows the current text. Glyphs are laid out | |
| /// individually from the leading edge, which suits short strings such as |
⚠️ Disclaimer: This guide is provided solely for educational purposes. The creator assumes no responsibility for any damage, data loss, or other adverse effects that may occur as a result of following these instructions. Proceed entirely at your own risk!
Many users who have rooted their devices finds issues where system or third-party applications detect the root status and refuse to operate. This guide outlines a procedure to hide root detection on the majority of Android devices, specifically the ones running Noble ROM for Samsung S9/S9+/N9. The approach detailed here leverages KernelSU-Next in conjunction with SuSFS.
DoH queries resolve over HTTPS for privacy, performance, and security. DoH also makes it easier to use a name server of your choice instead of the one configured for your system.
Warning
Canvas Class Checker is outdated. Please use the Schoolinks Checker, which includes direct teacher viewing.
Click one button and see your whole class schedule pop up - your periods, your classes, and your lunch period - right on your screen.
Tip
More scripts and support → discord.gg/QqAXc6FRMt